Pylinting of data file

pull/127/head
Frh 2020-04-10 16:16:37 -07:00
parent 467c4a3de0
commit 270c76a3e7
1 changed files with 154 additions and 77 deletions

View File

@ -70,7 +70,8 @@ data_stream = [
"5,000",
"33,051,480",
],
["Goa", "4,055,567", "110,000", "330,053", "0", "4,495,620", "12,560", "4,508,180"],
["Goa", "4,055,567", "110,000", "330,053", "0", "4,495,620", "12,560",
"4,508,180"],
[
"Gujarat",
"26,328,400",
@ -161,7 +162,8 @@ data_stream = [
"313,762",
"67,044,159",
],
["Manipur", "2,494,600", "187,700", "897,400", "0", "3,579,700", "0", "3,579,700"],
["Manipur", "2,494,600", "187,700", "897,400", "0", "3,579,700",
"0", "3,579,700"],
[
"Meghalaya",
"2,894,093",
@ -301,7 +303,8 @@ data_stream_table_rotated = [
"Total",
"women",
],
["Caste/tribe", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""],
["Caste/tribe", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", ""],
[
"Scheduled caste",
"74.8",
@ -378,7 +381,8 @@ data_stream_table_rotated = [
"100.0",
"3,319",
],
["Wealth index", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""],
["Wealth index", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", ""],
[
"Lowest",
"64.5",
@ -826,7 +830,8 @@ data_stream_two_tables_1 = [
"and over",
],
[
"Total .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n . .\n . .\n . .\n . . .",
"Total .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n"
" . .\n . .\n . .\n . . .",
"11,062 .6",
"1,540 .0",
"9,522 .6",
@ -900,7 +905,8 @@ data_stream_two_tables_1 = [
"64.5",
],
[
"Property crime . . . .\n . .\n . . .\n . . .\n .\n . . . .",
"Property crime . . . .\n . .\n . . .\n . . .\n .\n"
" . . . .",
"1,396 .4",
"338 .7",
"1,057 .7",
@ -984,7 +990,8 @@ data_stream_two_tables_1 = [
"25.5",
],
[
"Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n.",
"Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n."
" .\n.\n.\n.",
"173.7",
"5.1",
"168.5",
@ -1219,7 +1226,8 @@ data_stream_two_tables_2 = [
["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"],
["", "Total", "White", "Black", "Native", "Islander"],
[
"Total .\n .\n .\n .\n . .\n . . .\n . . .\n .\n . . .\n .\n . . .\n . .\n .\n . . .\n .\n .\n .\n . .\n . .\n . .",
"Total .\n .\n .\n .\n . .\n . . .\n . . .\n .\n . . .\n "
".\n . . .\n . .\n .\n . . .\n .\n .\n .\n . .\n . .\n . .",
"10,690,561",
"7,389,208",
"3,027,153",
@ -1227,7 +1235,8 @@ data_stream_two_tables_2 = [
"123,656",
],
[
"Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .",
"Violent crime . . . . . . . .\n . .\n . .\n . "
".\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .",
"456,965",
"268,346",
"177,766",
@ -1243,7 +1252,8 @@ data_stream_two_tables_2 = [
"97",
],
[
"Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .",
"Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. ."
"\n. .\n.\n.\n.\n.\n. .",
"16,362",
"10,644",
"5,319",
@ -1251,7 +1261,8 @@ data_stream_two_tables_2 = [
"230",
],
[
"Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .",
"Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n"
".\n.\n. .\n.\n.\n. . . .",
"100,496",
"43,039",
"55,742",
@ -1259,7 +1270,8 @@ data_stream_two_tables_2 = [
"989",
],
[
"Aggravated assault . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. .\n.\n.\n.",
"Aggravated assault . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n."
" .\n. .\n.\n.\n.",
"330,368",
"209,922",
"111,904",
@ -1267,7 +1279,8 @@ data_stream_two_tables_2 = [
"3,929",
],
[
"Property crime . . . . .\n . . . . .\n .\n . . .\n .\n . .\n .\n .\n .\n . .\n .\n . .\n .\n .",
"Property crime . . . . .\n . . . . .\n .\n . . .\n"
" .\n . .\n .\n .\n .\n . .\n .\n . .\n .\n .",
"1,364,409",
"922,139",
"406,382",
@ -1275,7 +1288,8 @@ data_stream_two_tables_2 = [
"18,289",
],
[
"Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n. . . .",
"Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n."
"\n. .\n.\n.\n. .\n.\n. . . .",
"234,551",
"155,994",
"74,419",
@ -1283,7 +1297,8 @@ data_stream_two_tables_2 = [
"2,117",
],
[
"Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .",
"Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. ."
"\n. .\n.\n.\n.\n.\n. .",
"1,056,473",
"719,983",
"306,625",
@ -1291,7 +1306,8 @@ data_stream_two_tables_2 = [
"15,219",
],
[
"Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.",
"Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n"
".\n. .\n.\n. .\n.",
"63,919",
"39,077",
"23,184",
@ -1299,7 +1315,8 @@ data_stream_two_tables_2 = [
"841",
],
[
"Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . . . .",
"Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n"
".\n.\n. .\n.\n.\n. . . . . .",
"9,466",
"7,085",
"2,154",
@ -1307,7 +1324,8 @@ data_stream_two_tables_2 = [
"112",
],
[
"Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.",
"Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n"
".\n.\n. .\n.\n. .\n.",
"1,032,502",
"672,865",
"332,435",
@ -1315,7 +1333,8 @@ data_stream_two_tables_2 = [
"12,075",
],
[
"Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. .\n. .\n.",
"Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n."
" .\n. .\n.",
"67,054",
"44,730",
"21,251",
@ -1323,7 +1342,8 @@ data_stream_two_tables_2 = [
"728",
],
[
"Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. . . . . . .",
"Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. "
".\n. .\n.\n.\n. . . . . . .",
"161,233",
"108,032",
"50,367",
@ -1331,7 +1351,8 @@ data_stream_two_tables_2 = [
"1,519",
],
[
"Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n. .\n.\n.\n.\n.",
"Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. "
".\n.\n. .\n.\n.\n.\n.",
"13,960",
"9,208",
"4,429",
@ -1347,7 +1368,8 @@ data_stream_two_tables_2 = [
"742",
],
[
"Vandalism . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .",
"Vandalism . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n."
" .\n. .\n.\n.\n.\n. .",
"212,173",
"157,723",
"48,746",
@ -1371,7 +1393,8 @@ data_stream_two_tables_2 = [
"1,413",
],
[
"Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .",
"Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n."
" .\n.\n.\n.\n.\n. .",
"60,175",
"44,240",
"14,347",
@ -1379,7 +1402,8 @@ data_stream_two_tables_2 = [
"873",
],
[
"Drug abuse violations . . . . . . . .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.",
"Drug abuse violations . . . . . . . .\n. . .\n.\n.\n.\n. .\n."
" .\n.\n.\n.\n.",
"1,301,629",
"845,974",
"437,623",
@ -1387,7 +1411,8 @@ data_stream_two_tables_2 = [
"9,444",
],
[
"Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . .\n.\n.\n.\n.\n. .\n. .",
"Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n."
" . .\n.\n.\n.\n.\n. .\n. .",
"8,046",
"2,290",
"5,518",
@ -1403,7 +1428,8 @@ data_stream_two_tables_2 = [
"624",
],
[
"Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n.\n.\n.\n. .",
"Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n."
"\n.\n.\n. .",
"1,105,401",
"954,444",
"121,594",
@ -1411,7 +1437,8 @@ data_stream_two_tables_2 = [
"14,460",
],
[
"Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.",
"Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n."
"\n. .\n. .\n.\n.\n.\n.",
"444,087",
"373,189",
"50,431",
@ -1419,7 +1446,8 @@ data_stream_two_tables_2 = [
"5,591",
],
[
"Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . .\n.\n.\n.\n.\n.\n.",
"Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . "
".\n.\n.\n.\n.\n.\n.",
"469,958",
"387,542",
"71,020",
@ -1427,7 +1455,8 @@ data_stream_two_tables_2 = [
"2,844",
],
[
"Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.",
"Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n."
" .\n.\n.\n.\n.",
"515,689",
"326,563",
"176,169",
@ -1435,7 +1464,8 @@ data_stream_two_tables_2 = [
"4,174",
],
[
"Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .",
"Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n"
".\n.\n. .\n.\n.\n. . . .",
"26,347",
"14,581",
"11,031",
@ -1443,7 +1473,8 @@ data_stream_two_tables_2 = [
"192",
],
[
"All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. .\n.",
"All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n."
"\n.\n. .\n.",
"2,929,217",
"1,937,221",
"911,670",
@ -1451,7 +1482,8 @@ data_stream_two_tables_2 = [
"36,446",
],
[
"Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.\n.\n. .\n. . . .",
"Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n"
".\n.\n.\n.\n. .\n. . . .",
"1,513",
"677",
"828",
@ -1467,7 +1499,8 @@ data_stream_two_tables_2 = [
"1,060",
],
[
"Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .",
"Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. "
".\n. .\n.\n.\n.\n. .",
"73,616",
"48,343",
"19,670",
@ -1505,10 +1538,12 @@ data_stream_table_areas = [
data_stream_columns = [
["Clave \nEntidad", "Nombre Entidad", "Clave \nMunicipio",
"Nombre Municipio", "Clave \nLocalidad", "Nombre Localidad"],
["01", "Aguascalientes", "001", "Aguascalientes", "0094", "Granja Adelita"],
["01", "Aguascalientes", "001", "Aguascalientes", "0094",
"Granja Adelita"],
["01", "Aguascalientes", "001", "Aguascalientes", "0096", "Agua Azul"],
["01", "Aguascalientes", "001", "Aguascalientes", "0100", "Rancho Alegre"],
["01", "Aguascalientes", "001", "Aguascalientes", "0102", "Los Arbolitos [Rancho]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0102",
"Los Arbolitos [Rancho]"],
[
"01",
"Aguascalientes",
@ -1526,7 +1561,8 @@ data_stream_columns = [
"0112",
"Baj\xedo los V\xe1zquez",
],
["01", "Aguascalientes", "001", "Aguascalientes", "0113", "Baj\xedo de Montoro"],
["01", "Aguascalientes", "001", "Aguascalientes", "0113",
"Baj\xedo de Montoro"],
[
"01",
"Aguascalientes",
@ -1568,8 +1604,10 @@ data_stream_columns = [
"Ca\xf1ada Honda [Estaci\xf3n]",
],
["01", "Aguascalientes", "001", "Aguascalientes", "0127", "Los Ca\xf1os"],
["01", "Aguascalientes", "001", "Aguascalientes", "0128", "El Cari\xf1\xe1n"],
["01", "Aguascalientes", "001", "Aguascalientes", "0129", "El Carmen [Granja]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0128",
"El Cari\xf1\xe1n"],
["01", "Aguascalientes", "001", "Aguascalientes", "0129",
"El Carmen [Granja]"],
[
"01",
"Aguascalientes",
@ -1604,9 +1642,11 @@ data_stream_columns = [
"El Colorado (El Soyatal)",
],
["01", "Aguascalientes", "001", "Aguascalientes", "0146", "El Conejal"],
["01", "Aguascalientes", "001", "Aguascalientes", "0157", "Cotorina de Abajo"],
["01", "Aguascalientes", "001", "Aguascalientes", "0157",
"Cotorina de Abajo"],
["01", "Aguascalientes", "001", "Aguascalientes", "0162", "Coyotes"],
["01", "Aguascalientes", "001", "Aguascalientes", "0166", "La Huerta (La Cruz)"],
["01", "Aguascalientes", "001", "Aguascalientes", "0166",
"La Huerta (La Cruz)"],
[
"01",
"Aguascalientes",
@ -1623,17 +1663,20 @@ data_stream_columns = [
"0171",
"Los Cuervos (Los Ojos de Agua)",
],
["01", "Aguascalientes", "001", "Aguascalientes", "0172", "San Jos\xe9 [Granja]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0172",
"San Jos\xe9 [Granja]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0176", "La Chiripa"],
["01", "Aguascalientes", "001", "Aguascalientes", "0182", "Dolores"],
["01", "Aguascalientes", "001", "Aguascalientes", "0183", "Los Dolores"],
["01", "Aguascalientes", "001", "Aguascalientes", "0190", "El Duraznillo"],
["01", "Aguascalientes", "001", "Aguascalientes", "0191", "Los Dur\xf3n"],
["01", "Aguascalientes", "001", "Aguascalientes", "0197", "La Escondida"],
["01", "Aguascalientes", "001", "Aguascalientes", "0201", "Brande Vin [Bodegas]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0201",
"Brande Vin [Bodegas]"],
["01", "Aguascalientes", "001", "Aguascalientes", "0207", "Valle Redondo"],
["01", "Aguascalientes", "001", "Aguascalientes", "0209", "La Fortuna"],
["01", "Aguascalientes", "001", "Aguascalientes", "0212", "Lomas del Gachup\xedn"],
["01", "Aguascalientes", "001", "Aguascalientes", "0212",
"Lomas del Gachup\xedn"],
[
"01",
"Aguascalientes",
@ -1643,7 +1686,8 @@ data_stream_columns = [
"El Carmen (Gallinas G\xfceras) [Rancho]",
],
["01", "Aguascalientes", "001", "Aguascalientes", "0216", "La Gloria"],
["01", "Aguascalientes", "001", "Aguascalientes", "0226", "Hacienda Nueva"],
["01", "Aguascalientes", "001", "Aguascalientes", "0226",
"Hacienda Nueva"],
]
data_stream_split_text = [
@ -1834,7 +1878,8 @@ data_stream_split_text = [
"(872) 825-8309",
"2014/04/11",
],
["", "", "A SENSU JAPANESE", "", "7123 SOUTH 92ND EAST", "", "", "", "", ""],
["", "", "A SENSU JAPANESE", "", "7123 SOUTH 92ND EAST", "", "", "", "",
""],
[
"625422",
"BAW",
@ -1886,7 +1931,8 @@ data_stream_split_text = [
"(580) 928-2700",
"2014/09/08",
],
["", "", "ANDOLINI'S PIZZERIA &", "", "12140 EAST 96TH STREET", "", "", "", "", ""],
["", "", "ANDOLINI'S PIZZERIA &", "", "12140 EAST 96TH STREET", "", "",
"", "", ""],
[
"428377",
"BAW",
@ -2005,7 +2051,8 @@ data_stream_flag_size = [
"from SBI",
"from",
],
["", "Debt", "", "", "RBI", "Banks", "LIC", "GIC", "NABARD", "& Other", "NCDC"],
["", "Debt", "", "", "RBI", "Banks", "LIC", "GIC", "NABARD", "& Other",
"NCDC"],
["", "", "", "", "", "& FIs", "", "", "", "Banks", ""],
["1", "2=", "3", "4", "5", "6=", "7", "8", "9", "10", "11"],
["", "(3 to 6)+14", "", "", "", "(7 to13)", "", "", "", "", ""],
@ -2022,7 +2069,8 @@ data_stream_flag_size = [
"-",
"0.25",
],
["Arunachal Pradesh", "1.23", "1.1", "-", "-", "0.13", "-", "-", "-", "-", "-"],
["Arunachal Pradesh", "1.23", "1.1", "-", "-", "0.13", "-", "-", "-",
"-", "-"],
[
"Assam",
"12.69",
@ -2051,8 +2099,10 @@ data_stream_flag_size = [
],
["Chhattisgarh", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
["Goa", "1.4", "1.02", "-", "-", "0.38", "0.31", "-", "0.07", "-", "-"],
["Gujarat", "19.75", "17.1", "-", "-", "2.64", "1.17", "-", "1.11", "-", "0.44"],
["Haryana", "11.53", "9.67", "-", "0.06", "1.8", "0.55", "-", "0.64", "-", "0.49"],
["Gujarat", "19.75", "17.1", "-", "-", "2.64", "1.17", "-", "1.11",
"-", "0.44"],
["Haryana", "11.53", "9.67", "-", "0.06", "1.8", "0.55", "-", "0.64",
"-", "0.49"],
[
"Himachal Pradesh",
"8.02",
@ -2080,7 +2130,8 @@ data_stream_flag_size = [
"-",
],
["Jharkhand", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
["Karnataka", "22.44", "19.59", "-", "-", "2.86", "1.22", "-", "0.89", "-", "0.69"],
["Karnataka", "22.44", "19.59", "-", "-", "2.86", "1.22", "-", "0.89",
"-", "0.69"],
[
"Kerala",
"29.03",
@ -2120,11 +2171,16 @@ data_stream_flag_size = [
"0.02",
"2.89",
],
["Manipur", "2.17", "1.61", "-", "0.26", "0.29", "0.08", "-", "-", "-", "0.09"],
["Meghalaya", "1.36", "1.38", "-", "-", "-0.02", "0.04", "-", "-0.05", "-", "0.03"],
["Mizoram", "1.17", "0.46", "-", "0.27", "0.43", "0.11", "-", "-", "-", "0.03"],
["Nagaland", "2.99", "2.6", "-", "-", "0.39", "0.24", "-", "-", "-", "0.04"],
["Odisha", "34.04", "27.58", "-", "4.4", "2.06", "0.56", "-", "0.66", "-", "0.2"],
["Manipur", "2.17", "1.61", "-", "0.26", "0.29", "0.08", "-", "-", "-",
"0.09"],
["Meghalaya", "1.36", "1.38", "-", "-", "-0.02", "0.04", "-", "-0.05",
"-", "0.03"],
["Mizoram", "1.17", "0.46", "-", "0.27", "0.43", "0.11", "-", "-",
"-", "0.03"],
["Nagaland", "2.99", "2.6", "-", "-", "0.39", "0.24", "-", "-", "-",
"0.04"],
["Odisha", "34.04", "27.58", "-", "4.4", "2.06", "0.56", "-", "0.66",
"-", "0.2"],
[
"Punjab",
"19.18",
@ -2152,8 +2208,10 @@ data_stream_flag_size = [
"0.81",
],
["Sikkim", "0.16", "-", "-", "-", "0.16", "0.03", "-", "-", "-", "0.01"],
["Tamil Nadu", "34.11", "31.41", "-", "-", "2.7", "1.3", "-", "0.6", "-", "0.68"],
["Tripura", "2.3", "1.89", "-", "-", "0.41", "0.41", "-", "-0.05", "-", "0.02"],
["Tamil Nadu", "34.11", "31.41", "-", "-", "2.7", "1.3", "-", "0.6", "-",
"0.68"],
["Tripura", "2.3", "1.89", "-", "-", "0.41", "0.41", "-", "-0.05", "-",
"0.02"],
["Uttaranchal", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-"],
[
"Uttar Pradesh",
@ -2249,11 +2307,13 @@ data_stream_edge_tol = [
["Costs", "(0.21)"],
["T\notal investment result per unit", "3.78"],
[
"1 The results cover the period from inception of the Fund at 8 April 2016 through 31 December 2016.",
"1 The results cover the period from inception of the Fund at "
"8 April 2016 through 31 December 2016.",
"",
],
[
"2 The result per unit is calculated using the total number of outstanding unit as per the end of the",
"2 The result per unit is calculated using the total number of "
"outstanding unit as per the end of the",
"",
],
["period.", ""],
@ -2310,7 +2370,8 @@ data_lattice_table_rotated = [
"Men",
"Women",
],
["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645", "2391"],
["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645",
"2391"],
[
"Tamil Nadu",
"7387",
@ -2359,10 +2420,14 @@ data_lattice_table_rotated = [
"1417",
"1599",
],
["Gujarat", "4403", "5374", "4866", "9645", "477", "2687", "3021", "2122", "2503"],
["Madhya Pradesh", "*", "*", "*", "7942", "470", "1965", "2150", "1579", "1709"],
["Orissa", "3756", "5540", "12024", "8473", "398", "2040", "2624", "1093", "1628"],
["West Bengal", "*", "*", "*", "8047", "423", "2058", "2743", "1413", "2027"],
["Gujarat", "4403", "5374", "4866", "9645", "477", "2687", "3021", "2122",
"2503"],
["Madhya Pradesh", "*", "*", "*", "7942", "470", "1965", "2150", "1579",
"1709"],
["Orissa", "3756", "5540", "12024", "8473", "398", "2040", "2624", "1093",
"1628"],
["West Bengal", "*", "*", "*", "8047", "423", "2058", "2743", "1413",
"2027"],
["Uttar Pradesh", "*", "*", "*", "9860", "581", "2139", "2415", "1185",
"1366"],
[
@ -2430,7 +2495,8 @@ data_lattice_two_tables_2 = [
]
data_lattice_table_regions = [
["Età dellAssicurato \nallepoca del decesso", "Misura % di \nmaggiorazione"],
["Età dellAssicurato \nallepoca del decesso",
"Misura % di \nmaggiorazione"],
["18-75", "1,00%"],
["76-80", "0,50%"],
["81 in poi", "0,10%"],
@ -2453,10 +2519,12 @@ data_lattice_table_areas = [
["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""],
["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""],
["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""],
["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9", ""],
["Andhra Pradesh", "2400", "54.0", "1.7", "8.4", "13.2", "18.8", "3.9",
""],
["Maharashtra", "2400", "22.0", "0.9", "17.3", "20.3", "32.6", "7.0", ""],
["Gujarat", "2390", "28.6", "0.1", "14.4", "23.1", "26.9", "6.8", ""],
["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6", ""],
["Madhya Pradesh", "2402", "29.1", "3.4", "8.5", "35.1", "13.3", "10.6",
""],
["Orissa", "2405", "33.2", "1.0", "10.4", "25.7", "21.2", "8.5", ""],
["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4", ""],
["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6", ""],
@ -2507,7 +2575,8 @@ data_lattice_process_background = [
"3,658",
"3,183",
],
["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"],
["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173",
"855"],
["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"],
]
@ -2546,7 +2615,8 @@ data_lattice_copy_text = [
["COHS", "San Mateo", "Health Plan of San Mateo", "113,202"],
["COHS", "Ventura", "Gold Coast Health Plan", "202,217"],
["COHS", "Total COHS Enrollment", "", "2,176,064"],
["Subtotal for Two-Plan, Regional Model, GMC and COHS", "", "", "10,132,022"],
["Subtotal for Two-Plan, Regional Model, GMC and COHS", "", "",
"10,132,022"],
["PCCM", "Los Angeles", "AIDS Healthcare Foundation", "828"],
["PCCM", "San Francisco", "Family Mosaic", "25"],
["PCCM", "Total PHP Enrollment", "", "853"],
@ -2578,7 +2648,8 @@ data_lattice_shift_text_left_top = [
],
["Blood Pressure #", "2400", "Men (≥ 18yrs)", "10%", "95%", "20%", "1728"],
["", "", "Women (≥ 18 yrs)", "", "", "", "1728"],
["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%",
"1825"],
["", "", "Women (≥ 18 yrs)", "", "", "", "1825"],
[
"Knowledge &\nPractices on HTN &\nDM",
@ -2603,7 +2674,8 @@ data_lattice_shift_text_disable = [
"Sample size\nper State",
],
["Anthropometry", "", "", "", "", "", ""],
["Clinical Examination", "2400", "", "All the available individuals", "", "", ""],
["Clinical Examination", "2400", "", "All the available individuals",
"", "", ""],
["History of morbidity", "", "", "", "", "", ""],
[
"Diet survey",
@ -2615,9 +2687,11 @@ data_lattice_shift_text_disable = [
"",
],
["", "", "Men (≥ 18yrs)", "", "", "", "1728"],
["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"],
["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%",
"1728"],
["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%",
"1825"],
[
"Knowledge &\nPractices on HTN &",
"2400",
@ -2642,7 +2716,8 @@ data_lattice_shift_text_right_bottom = [
],
["Anthropometry", "", "", "", "", "", ""],
["Clinical Examination", "", "", "", "", "", ""],
["History of morbidity", "2400", "", "", "", "", "All the available individuals"],
["History of morbidity", "2400", "", "", "", "",
"All the available individuals"],
[
"Diet survey",
"1200",
@ -2653,9 +2728,11 @@ data_lattice_shift_text_right_bottom = [
"All the individuals partaking meals in the HH",
],
["", "", "Men (≥ 18yrs)", "", "", "", "1728"],
["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"],
["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%",
"1728"],
["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%",
"1825"],
["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
[
"Knowledge &\nPractices on HTN &\nDM",